• 中国精品科技期刊
  • CCF推荐A类中文期刊
  • 计算领域高质量科技期刊T1类
Advanced Search
Ma Xiaoxiao, Yang Fan, Wang Zhan, Yuan Guojun, An Xuejun. Survey on Smart Network Interface Card[J]. Journal of Computer Research and Development, 2022, 59(1): 1-21. DOI: 10.7544/issn1000-1239.20200629
Citation: Ma Xiaoxiao, Yang Fan, Wang Zhan, Yuan Guojun, An Xuejun. Survey on Smart Network Interface Card[J]. Journal of Computer Research and Development, 2022, 59(1): 1-21. DOI: 10.7544/issn1000-1239.20200629

Survey on Smart Network Interface Card

Funds: This work was supported by the National Science and Technology Innovation Program 2030 (2020AAA0104402), the National Natural Science Foundation of China for Young Scientists (61702484), the Strategic Priority Research Program of Chinese Academy of Sciences (XDB24050100), the Youth Innovation Promotion Association of Chinese Academy of Sciences, and the General Program of the National Natural Science Foundation of China(61972380).
More Information
  • Published Date: December 31, 2021
  • In the era of the rapid increase in network speed, memory access bottleneck has been a prominent problem, and network processing overhead has been increasing significantly. Ordinary network cards have gradually exposed defects in network protocol processing, data migration, and programmable flexibility in modern applications. As a programmable intelligent network device, the SmartNIC (smart network interface card) has received extensive attention in the fields of data center and scientific computing cluster applications. SmartNIC has become a key technology to solve network bottlenecks. It can bring significant benefits in terms of protocol processing offload, network function virtualization, application-specific acceleration, and other usage scenarios. We survey the basic architecture, programming framework, application direction, and other hot research issues of SmartNIC. We summarize the typical products in the current industry and important achievements in academia. We also clarify the advantages and disadvantages of different design architectures. The application scenarios applicable to different programming frameworks are introduced, and the value of SmartNIC in typical data center applications and scientific computing applications is introduced. After that, we give some efficient suggestions about software and hardware collaborative design of SmartNIC in different application scenarios. Finally, we present the hot issues that still exist in the design and use of SmartNIC, and put forward the important future research points and a universal design solution for SmartNIC.
  • Related Articles

    [1]Jiang Yulong, Dong Fang, Guo Xiaolin, Luo Junzhou. Potential Game Based Workflow Task Offloading Optimization Mechanism in Computing Power Network[J]. Journal of Computer Research and Development, 2023, 60(4): 797-809. DOI: 10.7544/issn1000-1239.202330021
    [2]Hao Hao, Yang Shujie, Zhang Wei. Time-Continuous Computing Task Offloading Mechanism for Computing and Network Convergence[J]. Journal of Computer Research and Development, 2023, 60(4): 735-749. DOI: 10.7544/issn1000-1239.202221055
    [3]Liu Sheng, Lu Kai, Guo Yang, Liu Zhong, Chen Haiyan, Lei Yuanwu, Sun Haiyan, Yang Qianming, Chen Xiaowen, Chen Shenggang, Liu Biwei, Lu Jianzhuang. A Self-Designed Heterogeneous Accelerator for Exascale High Performance Computing[J]. Journal of Computer Research and Development, 2021, 58(6): 1234-1237. DOI: 10.7544/issn1000-1239.2021.20210189
    [4]Yang Fan, Zhang Peng, Wang Zhan, Yuan Guojun, An Xuejun. Accelerating Byzantine Fault Tolerance with In-Network Computing[J]. Journal of Computer Research and Development, 2021, 58(1): 164-177. DOI: 10.7544/issn1000-1239.2021.20190723
    [5]Liu Zening, Li Kai, Wu Liantao, Wang Zhi, Yang Yang. CATS: Cost Aware Task Scheduling in Multi-Tier Computing Networks[J]. Journal of Computer Research and Development, 2020, 57(9): 1810-1822. DOI: 10.7544/issn1000-1239.2020.20200198
    [6]Lu Haifeng, Gu Chunhua, Luo Fei, Ding Weichao, Yang Ting, Zheng Shuai. Research on Task Offloading Based on Deep Reinforcement Learning in Mobile Edge Computing[J]. Journal of Computer Research and Development, 2020, 57(7): 1539-1554. DOI: 10.7544/issn1000-1239.2020.20190291
    [7]Tu Bibo, Hong Xuehai, Zhan Jianfeng, Fan Jianping. Workflow-Based User Environment for High Performance Computing[J]. Journal of Computer Research and Development, 2007, 44(10): 1717-1723.
    [8]Zhao Yi, Zhu Peng, Chi Xuebin, Niu Tie, and Cao Zongyan. A Brief View on Requirements and Development of High Performance Computing Application[J]. Journal of Computer Research and Development, 2007, 44(10): 1640-1646.
    [9]Feng Shengzhong, Tan Guangming, Xu Lin, Sun Ninghui, Xu Zhiwei. Research on the High Performance Algorithms of Dawning 4000H Bioinformatics Specific Machine[J]. Journal of Computer Research and Development, 2005, 42(6): 1053-1058.
    [10]Xie Xianghui, Peng Longgen, Wu Zhibing, and Lu Deping. Research on High Performance Computer Technology Based on InfiniBand[J]. Journal of Computer Research and Development, 2005, 42(6): 905-912.
  • Cited by

    Periodical cited type(13)

    1. 王可,郭志川,常艺伟. 多队列MSI-X引擎设计与实现. 电子设计工程. 2024(12): 21-26 .
    2. 刘忠沛,吕高锋,王继昌,杨翔瑞. 网络切片可编程数据平面模型. 国防科技大学学报. 2024(05): 200-208 .
    3. 赵武清,柏姗姗,李承钊,耿新,李科德. 基于深度学习算法的智能网卡数据流卸载模型. 粘接. 2024(11): 139-142 .
    4. 王立文,张岩,曹畅,康凯,文湘江. 算网融合DPU可定制化能力分层方法. 信息通信技术. 2024(04): 64-71 .
    5. 朱兴洪,张振荣,陈奕君. 面向异构加速卡的MF-DMA设计与实现. 计算机工程与设计. 2024(11): 3486-3491 .
    6. 崔钟允,姬利. 基于UltraScaleFPGA的高速以太网接口设计与验证. 电子技术. 2023(02): 34-36 .
    7. 许可,李彦彪,谢高岗,张大方. 基于混合计数布隆过滤器的高效数据名查找方法. 计算机研究与发展. 2023(05): 1136-1150 . 本站查看
    8. 王翰华,李峰. 网络计算技术发展情况及应用前景分析. 信息通信技术与政策. 2023(06): 47-54 .
    9. 李亮,陈茹萍,方鲁杰,韩宇峥,姜冰,徐志亮,袁泉. 基于PKS体系的国产智能网卡现状研究分析. 电子技术应用. 2023(10): 148-152 .
    10. 杨旭,周维,徐彬,姜瑞峰,辛天鹏. NFV网络云智能网卡关键技术方案及引入策略. 电信工程技术与标准化. 2023(10): 57-61+80 .
    11. 汪庆,李俊儒,舒继武. 在网存储系统研究综述. 计算机研究与发展. 2023(11): 2681-2695 . 本站查看
    12. 张昕怡,潘恒,谢高岗. 可编程网络数据平面技术进展. 电信科学. 2022(06): 42-50 .
    13. 冯一飞,丁楠,叶钧超,柴志雷. 领域专用低延迟高带宽TCP/IP卸载引擎设计与实现. 计算机工程. 2022(09): 162-170 .

    Other cited types(20)

Catalog

    Article views (2460) PDF downloads (1380) Cited by(33)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return